Atla helps developers find AI mistakes at scale, so they can build more reliable GenAI applications. LLMs only reach their full potential when they consistently produce safe and useful results. We train models to catch mistakes, monitor AI performance, and understand critical failure modes so devs can fix them.
Co-founder & CEO of Atla (S23). Startup veteran @ Syrup, Trim, and Merantix. Masters in CS @ University of Pennsylvania. Half an MBA @ Harvard Business School.
Co-founder & CTO of atla (S23). AI safety researcher @ MATS. MSc. Robotics @ ETH, Stanford, Imperial.